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Paper Abstract and Keywords
Presentation 2026-03-15 09:35
Automating Cognitive Function Assessment and Text-Based Feedback Generation in Cognitive Rehabilitation
Hiromichi Sera, Hiraku Matsuda, Takumi Ogawa, Miki Kitagawa, Sho Ooi, Mutsuo Sano (OIT) WIT2025-20
Abstract (in Japanese) (See Japanese page) 
(in English) This study investigated a cognitive rehabilitation support system aimed at providing reflection opportunities during Instrumental Activities of Daily Living (IADL). Focusing specifically on tidying behavior, we proposed a quantitative evaluation metric that automatically assesses the participants' cognitive functions based on information derived from behavioral video footage. The proposed metric is defined as a three-layer structure comprising cognitive characteristics, behavioral characteristics, and state variables, intended for use in evaluation and feedback generation within reflection support. To examine the validity of the proposed metric, a rehabilitation support experiment targeting tidying behavior was conducted. Simulated data were generated based on actual data obtained through manual analysis, and we constructed a Bayesian network. The comparison of model structures showed a tendency for models incorporating cognitive characteristics to demonstrate higher predictive performance on unseen data during inference . While the results of this study are limited to verification based on simulated data, they indicate the potential for automatic cognitive function assessment and reflection-based support based on tidying behavior. Future studies will focus on integrating automatic analysis using real data with generative AI–based feedback to enable practical deployment of the proposed rehabilitation support system.
Keyword (in Japanese) (See Japanese page) 
(in English) Cognitive Impairment / Cognitive Rehabilitation / Bayesian Network / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 403, WIT2025-20, pp. 1-6, March 2026.
Paper # WIT2025-20 
Date of Issue 2026-03-08 (WIT) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF WIT2025-20

Conference Information
Committee WIT IPSJ-AAC  
Conference Date 2026-03-15 - 2026-03-16 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To WIT 
Conference Code 2026-03-WIT-AAC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automating Cognitive Function Assessment and Text-Based Feedback Generation in Cognitive Rehabilitation 
Sub Title (in English)  
Keyword(1) Cognitive Impairment  
Keyword(2) Cognitive Rehabilitation  
Keyword(3) Bayesian Network  
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1st Author's Name Hiromichi Sera  
1st Author's Affiliation Osaka Institute of Technology (OIT)
2nd Author's Name Hiraku Matsuda  
2nd Author's Affiliation Osaka Institute of Technology (OIT)
3rd Author's Name Takumi Ogawa  
3rd Author's Affiliation Osaka Institute of Technology (OIT)
4th Author's Name Miki Kitagawa  
4th Author's Affiliation Osaka Institute of Technology (OIT)
5th Author's Name Sho Ooi  
5th Author's Affiliation Osaka Institute of Technology (OIT)
6th Author's Name Mutsuo Sano  
6th Author's Affiliation Osaka Institute of Technology (OIT)
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Speaker Author-1 
Date Time 2026-03-15 09:35:00 
Presentation Time 25 minutes 
Registration for WIT 
Paper # WIT2025-20 
Volume (vol) vol.125 
Number (no) no.403 
Page pp.1-6 
#Pages 6 
Date of Issue 2026-03-08 (WIT) 

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